---
title: "Ehsan Tavan — author profile and papers · Sentiment & emotion"
description: "Ehsan Tavan: 2 papers on Elamur Research (2022–2026), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ehsan-tavan/"
---
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# Ehsan Tavan

Ehsan Tavan has 2 papers in our library, in 2022–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Maryam Najafi](https://md.research.elamur.ai/free/en/authors/maryam-najafi/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5066728353) · [ORCID](https://orcid.org/0000-0003-1262-8172) · [**h-index 4**](https://openalex.org/authors/A5066728353) · [11 works](https://openalex.org/works?filter=author.id:A5066728353) · [31 citations](https://openalex.org/works?filter=author.id:A5066728353&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ehsan-tavan/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/ehsan-tavan/cited-by/) · [⭐ Paper Stars ranking: #10137](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10137)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ehsan+Tavan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ehsan+Tavan) · [dblp](https://dblp.org/search?q=Ehsan+Tavan) · [ACL Anthology](https://aclanthology.org/search/?q=Ehsan+Tavan)

## Affiliations

[🎓**Malek Ashtar University of Technology** Tehran · Iran 2020–2023 · 2 papers](https://ror.org/0043ezw98)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ehsan-tavan/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/ehsan-tavan/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners](https://md.research.elamur.ai/free/en/papers/najafi-2022-marsan-semeval-2022-task-6/)** *(2022 · 7 citations)* The paper presents the MarSan team's system for SemEval-2022 Task 6 (iSarcasm), which targets intended sarcasm in English and Arabic tweets.
2. **[MarSan at SemEval-2026 Task 4: Narrative Similarity via Sentence-BERT Metric Learning with Triple-Derived Losses](https://md.research.elamur.ai/free/en/papers/najafi-2026-marsan-semeval-2026-task-4/)** *(2026 · 1 citation)* SemEval-2026 Task 4 (NSNRL) asks systems to judge narrative similarity. Here similarity means shared plot logic, causal development and outcomes rather than shared wording. Each test item is a triple of an anchor story and two candidates. Track A asks which candidate is closer to the anchor. Track B asks for one…

## Co-authors here

1 co-author with a page, the most papers together first.

- [Maryam Najafi](https://md.research.elamur.ai/free/en/authors/maryam-najafi/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×2: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/), [SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/ehsan-tavan/cited-by/).

Updated 31 October 2026
